One of the earliest proposed solutions to address polysemy in NLP is the Lesk algorithm, which has seen various adaptations by researchers for different languages over the years. This study proposes a simplified
It is conducted by looking up and defining the meaning of ambiguous words by using LESK algorithm. The test is performed towards the functionality from a system in which the result system test is in line with test data from KBBI. The result presents accuracy level of 78.6% for one of an ...